US Residential Proxies with City and ZIP Code Targeting

How do I target a US city or ZIP code?

You target a US city or ZIP code by adding segments to your proxy username. The full StatesideIP format is USERNAME-country-{cc}-state-{state}-city-{city}-zip-{zip}-asn-{asn}-session-{id}-ttl-{minutes}; use only the segments you need.

• USERNAME-country-us-state-ny-city-new_york-zip-10001 — Chelsea and Hudson Yards, Manhattan.
• USERNAME-country-us-state-il-city-chicago-zip-60614 — Lincoln Park, Chicago.
• USERNAME-country-us-state-tx-city-houston-zip-77006 — Montrose, Houston.
• USERNAME-country-us-state-fl-city-miami-zip-33131 — Brickell, Miami.
• USERNAME-country-us-state-wa-city-seattle — any Seattle IP, rotating per request.

City names are lowercase, with underscores for spaces. ZIP codes keep all five digits, including a leading zero, as in zip-02116 for Back Bay, Boston. Keep the state and city consistent with the ZIP.

How do I test a ZIP code IP with curl and Python?

Send one request through the gateway and print the exit IP. Then check that IP in the geolocation service your target uses, if you know it. Respect robots.txt and each site's terms when you move to real targets.

# Rotating IP in ZIP 10001 (Manhattan) over HTTP
curl -x http://gw.statesideip.com:7777 \
  -U "USERNAME-country-us-state-ny-city-new_york-zip-10001:PASSWORD" \
  "https://api.ipify.org?format=json"

# Same ZIP, one IP kept for 10 minutes, over SOCKS5
curl --socks5-hostname gw.statesideip.com:7778 \
  -U "USERNAME-country-us-state-ny-city-new_york-zip-10001-session-zip1-ttl-10:PASSWORD" \
  "https://api.ipify.org?format=json"

import requests

HOST = "gw.statesideip.com"
PORT = 7777

# ZIP code -> matching state and city segments
zips = {
    "10001": "country-us-state-ny-city-new_york",
    "60614": "country-us-state-il-city-chicago",
    "33131": "country-us-state-fl-city-miami",
}

for zip_code, place in zips.items():
    user = f"USERNAME-{place}-zip-{zip_code}"
    proxy = f"http://{user}:PASSWORD@{HOST}:{PORT}"
    r = requests.get(
        "https://api.ipify.org?format=json",
        proxies={"http": proxy, "https": proxy},
        timeout=30,
    )
    print(zip_code, r.json()["ip"])

How precise is ZIP code targeting?

ZIP code targeting is approximate: each website places an IP with its own geolocation database, and databases differ. An IP that StatesideIP assigns to ZIP 10001 may show as a nearby ZIP, or only as "New York", in some databases. A narrow ZIP also has fewer home IPs online at any moment than a whole city or state.

• Test the target page itself, not only a lookup tool.
• Widen to the city or state segment if a ZIP returns errors.
• Compare a ZIP-level result with a city-level one before you scale.

Which providers include ZIP code targeting, and at what price?

ZIP targeting is less common than city targeting. Proxyway's 2026 market research found ZIP targeting at 5 of the 13 providers it studied, while all 13 offered city targeting. Where ZIP targeting exists, the price model differs, as of October 2026:

• SOAX includes ZIP and ASN targeting only on its Scale plan ($1,500 per month + VAT) and Enterprise plan ($3,000 per month + VAT).
• DataImpulse lists $1 per GB, with state, city, ZIP and ASN targeting "offered for a small extra fee".
• Bright Data's Residential network requires company KYC for zones created after July 7, 2026.
• StatesideIP includes city and ZIP targeting from the 1 GB plan at $1.50.

From 5 to 10 GB, StatesideIP residential traffic costs $0.75/GB, 25% below DataImpulse's $1/GB list price. Targeting is included, while DataImpulse charges a small extra fee for it (checked 2026-10-05). All tiers are on the pricing page.

What can I do with ZIP-level US IPs?

ZIP-level US IPs show what a page looks like to people in one neighborhood. Common legitimate uses:

• Local SEO: check Google results and the map pack from zip-11211 in Williamsburg, not a national average. See local SEO rank tracking.
• Price and stock checks: record public prices and delivery dates that change by ZIP code. See e-commerce price monitoring.
• Ad checks: confirm that a campaign aimed at a ZIP radius shows the right creative. See ad verification.